# # import tensorflow as tf
# import numpy as np
#
#
# a = [[[1., 2., 3.],
#       [5., 6., 7.]],
#
#      [[3., 1., 1.],
#       [2., 1., 1.]]]
#
# #
# # b = [[[2, 2, 2],
# #       [2, 2, 2]],
# #
# #      [[2, 2, 2],
# #       [2, 2, 2]]]
#
# print(np.shape(a))
#
#
# print(a[:, :, 0])

#
# # c = tf.reduce_sum(np.square(a), axis=1, keep_dims=True)
# # c = tf.one_hot(b, depth=10, axis=1)
#
# session = tf.InteractiveSession()
# # d = tf.expand_dims(a, axis=-1)
#
# # b = tf.matrix_transpose(a)
# #
# # print(session.run(b))
#
# # print(session.run(tf.matmul(a, b, transpose_a=True)))
#
# c = tf.norm(a, axis=-1, keep_dims=True)
# d = tf.arg_max(c, dimension=1)
#
# print(session.run(c))
#
# print(session.run(d))
